The intelligence of human beings isn't unspecifically good "predicting what's next" but rather is good at particular sorts of predictions in particular contexts, often involving the person having helped create the situation. I'm fairly safe at driving because I maintain an arrange of my vehicle in a fashion that allows me to predict easily what's next as well as allowing me to adjust if my predictions are wrong. Self-driving software might predict what's next as well as me in normal circumstances but it's neither aware of larger context nor does it things to maintain "smooth traffic flow".

Opposite, being able to predict anything generically would certainly be limitless intelligence but you can't describe any system with just that. Copilot is trained with a certain window, with the transforms special element giving more context but I don't think very many people doing current research expects that become generic prediction. I think I'm describing the consensus that it's a "better Google" for finding code one can use - and Google is a pretty good resource for this - if you aren't doing something unusual or difficult.

Jeff Hawking also makes "prediction is intelligence" claim but I think your and his approach misses that human intelligence is good not by being generic but doing more specific things.